This introductory course guides you through the initial yet critical steps of any data science project: data exploration. By utilizing Python and specifically pandas, you'll learn to load, inspect, and analyze datasets to gain fundamental insights. These steps are crucial for preparing you for Natural Language Processing explorations.
Overview
Syllabus
- Lesson 1: Exploring Text Data: Loading and Examining the SMS Spam Collection Dataset
- Exploring Data with Pandas
- Expanding Data Preview with Python
- Spot the Data Loading Bug
- Expanding Your Data Preview Skills
- Mastering the Basics of Dataset Handling
- Lesson 2: Exploring Text Data: Unveiling the Details of SMS Spam Collection
- Exploring SMS Spam Dataset Insights
- Fix the Column Reference Error
- Extracting Information and Columns from Dataset
- Unlocking Insights: SMS Spam Data Exploration
- Mastering Pandas with SMS Spam Data
- Lesson 3: Detecting Missing Data and Understanding Data Types in NLP
- Exploring Missing Values and Types
- Identify Missing Values in the SMS Spam Collection Dataset
- Understanding Column Data Types
- Mastering Data Inspection Essentials
- Lesson 4: Visualizing Text Data: Understanding Class Distribution with Seaborn in NLP
- Visualizing Spam and Ham Distribution
- Visualizing Class Distribution Correctly
- Counting Label to Data Visualization
- Visualizing Spam Message Distribution
